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                    [geoname_id] => 4509177
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                            [pt-BR] => Columbus
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            [validAttributes:protected] => Array
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 country : United States

 city : Columbus

US

Array
(
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    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)

Start Your Project

Report

USA Adidas Store Insights 2025 – Analyzing Retail Footprint Using Adidas Stores Location Dataset

Explore the USA Adidas retail footprint in 2025 with our Research Report using the Adidas Stores Location Dataset to analyze store locations and trends.

Download Research Report

GeoIp2\Model\City Object
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    [locales:protected] => Array
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    [maxmind:protected] => GeoIp2\Record\MaxMind Object
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            [validAttributes:protected] => Array
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    [registeredCountry:protected] => GeoIp2\Record\Country Object
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    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
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                                    [es] => Ohio
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 country : United States

 city : Columbus

US

Array
(
    [as_domain] => amazon.com
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)

+1

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Introduction

Understanding the retail footprint of global brands is essential for strategic decision-making, expansion planning, and competitive benchmarking. This report leverages the Adidas Stores Location Dataset to analyze Adidas’ retail presence across the USA in 2025. By examining store locations, city distribution, expansion trends, and store-level characteristics from 2020 to 2025, businesses can identify growth hotspots, underrepresented markets, and potential opportunities for partnerships or retail expansion.

Adidas has consistently invested in expanding its retail footprint in key metropolitan areas, suburban locations, and premium shopping malls. Using the Adidas Stores Location Dataset, analysts can extract structured data, including store addresses, city-level distribution, opening and closing trends, regional density, store type, and footfall estimates.

Over the past five years, Adidas stores have not only increased in number but also evolved in size and service offerings to provide premium in-store experiences. This report highlights year-over-year store growth, urban concentration, regional distribution patterns, and insights into metro vs. suburban performance. Businesses leveraging this dataset can optimize retail strategies, benchmark competitors, and improve supply chain efficiency, ensuring a data-driven approach to expansion.

USA Store Expansion Trends

Using Adidas store Location scraping In USA, this section tracks store growth from 2020–2025, highlighting geographic distribution, annual store openings, and regional expansion trends.

Year	Total Stores	New Stores Opened	Closed Stores	Avg Store Density (per 100k pop)
2020	1,200	50	15	0.36
2021	1,260	60	10	0.38
2022	1,320	70	10	0.40
2023	1,390	75	5	0.42
2024	1,460	80	10	0.44
2025	1,540	90	10	0.46

Insights:

California, New York, and Texas remain the leading states in store count, while Florida and Illinois show accelerated growth.
Urban metro areas account for nearly 66% of stores, demonstrating high-density concentration in high-income zones.
Suburban expansion has increased 30% over five years, showing Adidas’ focus on accessible locations beyond major cities.
New store openings correlate with high footfall areas and premium mall locations, emphasizing a strategic expansion aligned with customer purchasing power.

City-Level Distribution

Leveraging city-wise Adidas store data extraction, this section provides insights into city dominance, emerging markets, and saturation points.

City	2020	2021	2022	2023	2024	2025
Los Angeles	120	125	130	135	140	150
New York City	110	115	120	125	130	140
Chicago	80	85	90	95	100	105
Miami	50	55	60	65	70	75
Houston	45	50	55	60	65	70

Analysis:

Major metros maintain the highest store density, while emerging markets like Miami and Houston are witnessing double-digit growth YoY.
City-level insights highlight saturation points, helping retailers plan new store locations in untapped or underserved areas.
Expansion in mid-sized cities shows Adidas’ strategic push for market penetration outside primary metro regions.

Location Mapping Analysis

Using the Adidas location mapping dataset, this section visualizes store distribution via GIS mapping, showing metro vs. suburban presence and mall-based vs. street-level stores.

Year	Metro Stores	Suburban Stores	Mall Locations (%)	Street-Level Stores (%)
2020	800	400	60	40
2021	840	420	61	39
2022	880	440	62	38
2023	920	470	63	37
2024	970	490	63	37
2025	1,020	520	64	36

Insights:

Metro stores dominate the retail footprint due to higher disposable income and urban population density.
Suburban stores have steadily grown, targeting family-oriented neighborhoods and lifestyle shopping centers.
Mall locations remain a key strategy for visibility, while street-level stores cater to high-traffic pedestrian areas, boosting brand engagement.

Store Characteristics Dataset

The Adidas Dataset includes store size, footfall, revenue estimates, and layout types. Between 2020–2025, store size increased by 250 sq ft on average to accommodate premium displays and experiential retail.

Year	Avg Store Size (sq ft)	Footfall Estimate (Monthly)	New Store Investment ($M)
2020	1,500	12,000	2.5
2021	1,550	12,500	2.6
2022	1,600	13,000	2.8
2023	1,650	13,500	3.0
2024	1,700	14,000	3.2
2025	1,750	14,500	3.5

Analysis:

Footfall increased 20% over five years, reflecting strong brand engagement and marketing efforts.
Store size expansion supports experiential zones, customization counters, and in-store digital interfaces.
Investment in new stores correlates with high-demand urban areas and key retail corridors.

Store Location Data Scraping

Using Scrape Store Location Data, Actowiz Solutions extracted structured information from official Adidas websites, Google Maps, and third-party retail platforms.

Year	Stores Scraped	Data Accuracy (%)	Avg Update Frequency
2020	1,200	95	Quarterly
2021	1,260	96	Quarterly
2022	1,320	97	Bi-Monthly
2023	1,390	97	Bi-Monthly
2024	1,460	98	Monthly
2025	1,540	98	Monthly

Structured scraping enables:

Benchmarking store expansion against competitors like Nike and Puma
Planning targeted regional campaigns
Optimizing logistics and supply chain routes

National-Level Insights

By analyzing Scrape Data From Any Ecommerce Websites and correlating with physical store data, national-level trends and regional opportunities are identified.

Region	Stores 2020	Stores 2025	Growth (%)
East Coast	300	380	26%
West Coast	400	470	17.5%
Midwest	250	310	24%
South	250	380	52%
Others	0	0	0%

Insights:

The southern US experienced the highest growth due to new urban developments and increased consumer demand.
East Coast and Midwest show steady growth with opportunities for flagship store openings.
West Coast remains competitive; focus on premium locations enhances brand visibility.

With the Adidas Stores Location Dataset, Actowiz Solutions delivers:

Structured retail data for analytics and decision-making
City-level and national mapping of store locations
Insights into store performance, footfall, and expansion trends
Historical data analysis from 2020–2025 for benchmarking

Our solutions enable data-driven retail strategy, efficient market entry, and competitor analysis.

Conclusion

Leveraging Web Crawling service and Web Data Mining, businesses can analyze Adidas’ retail footprint across the USA with precision. The Adidas Stores Location Dataset provides structured insights to optimize store placement, expansion strategy, and regional marketing campaigns.

Partner with Actowiz Solutions to extract, map, and analyze Adidas store locations across the USA in 2025, empowering data-driven retail growth.

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Move Forward Predict demand, price shifts, and future opportunities across geographies.

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Fintech / Digital Payments

Result

Accurate daily voucher &

cashback visibility across platforms

★★★★★

“Actowiz Solutions helped us automate daily voucher and cashback data collection across PhonePe, Paytm, Flipkart, and Hubble. The API-driven delivery significantly improved offer accuracy and operational efficiency.”

Product Manager, Fintech Platform (India)

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Industry:

Coffee / Beverage / D2C

Result

2x Faster

Smarter product targeting

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“Actowiz Solutions has been instrumental in optimizing our data scraping processes. Their services have provided us with valuable insights into our customer preferences, helping us stay ahead of the competition.”

Operations Manager, Beanly Coffee

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Industry:

Real Estate

Result

2x Faster

Real-time RERA insights for 20+ states

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“Actowiz Solutions provided exceptional RERA Website Data Scraping Solution Service across PAN India, ensuring we received accurate and up-to-date real estate data for our analysis.”

Data Analyst, Aditya Birla Group

✓ Boosted data acquisition speed by 3×

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Industry:

Organic Grocery / FMCG

Result

Improved

competitive benchmarking

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“With Actowiz Solutions' data scraping, we’ve gained a clear edge in tracking product availability and pricing across various platforms. Their service has been a key to improving our market intelligence.”

Product Manager, 24Mantra Organic

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Inventory Decisions

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“Actowiz Solutions has greatly helped us monitor product availability from top three Quick Commerce brands. Their real-time data and accurate insights have streamlined our inventory management and decision-making process. Highly recommended!”

Aarav Shah, Senior Data Analyst, Mensa Brands

✓ 28% product availability accuracy

✓ Reduced OOS by 34% in 3 weeks

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Industry:

Quick Commerce

Result

3x Faster

improvement in operational efficiency

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“Actowiz Solutions' data scraping services have helped streamline our processes and improve our operational efficiency. Their expertise has provided us with actionable data to enhance our market positioning.”

Business Development Lead,Organic Tattva

✓ Weekly competitor pricing feeds

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Industry:

Beverage / D2C

Result

Faster

Trend Detection

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“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”

Marketing Director, Sleepyowl Coffee

Boosted marketing responsiveness

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Industry:

Quick Commerce

Result

Enhanced

stock tracking across SKUs

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“Actowiz Solutions provided accurate Product Availability and Ranking Data Collection from 3 Quick Commerce Applications, improving our product visibility and stock management.”

Growth Analyst, TheBakersDozen.in

✓ Improved rank visibility of top products

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2 min

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“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”

Iulen Ibanez

CEO / Datacy.es

1 min

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“Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing highly recommended!”

Febbin Chacko

-Fin, Small Business Owner

1 min

See Actowiz in Action – Real-Time Scraping Dashboard + Success Insights

Blinkit (Delhi NCR)

In Stock
₹524

Amazon USA

Price Drop + 12 min
in 6 hrs across Lel.6

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & planning

Monitor Prices, Availability & Trends -Live Across Regions

Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.

✔ Scraped Data: Price Insights Top-selling SKUs

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Our Data Drives Impact - Real Client Stories

Blinkit | India (Retail Partner)

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

US Electronics Seller (Amazon - Walmart)

With hourly price monitoring, we aligned promotions with competitors, drove 17%

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

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